Create app.py
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app.py
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from fastapi import FastAPI
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from pydantic import BaseModel
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from transformers import pipeline, set_seed
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app = FastAPI()
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# Load GPT-2 model
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generator = pipeline("text-generation", model="gpt2")
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set_seed(42)
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class PromptRequest(BaseModel):
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prompt: str
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max_length: int = 50
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@app.get("/")
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def read_root():
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return {"message": "Ku soo dhawoow GPT-2 Somali Chat API"}
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@app.post("/generate/")
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def generate_text(request: PromptRequest):
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result = generator(request.prompt, max_length=request.max_length, num_return_sequences=1)
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return {"generated_text": result[0]['generated_text']}
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